贝叶斯神经网络中的个体公平性

Apr, 2023

Individual Fairness in Bayesian Neural Networks

Alice Doherty, Matthew Wicker, Luca Laurenti, Andrea Patane

TL;DR研究了贝叶斯神经网络的个体公平性，提出基于梯度攻击的全局公平性方法，证明了近似伯努利推断训练的贝叶斯神经网络比确定性模型更具有个体公平性。

Abstract

We study individual fairness (IF) for bayesian neural networks (BNNs). Specifically, we consider the $\epsilon$-$\delta$-individual fairness